Paper Info
Title
Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images
Abstract
During a human brain MRI acquisition the resulting image is formed out of 2D slices. The slices must then be aligned and reconstructed to provide a 3-dimensional (3D) visualization of the brain volume. We propose in this work, an integrated system for the register ion and 3D reconstruction of DICOM MRI images and lesions of the brain acquired from multiple sclerosis (MS) subjects at two different time intervals (time 0 (T0) and time 1 (T1)). The system facilitates the follow up of the MS disease development and will aid the doctor to accurately manage the follow up of the disease. It involves a 6-stage analysis (preprocessing, lesion segmentation, registration, 3D reconstruction, volume estimation and method evaluation), as well as module quantitative evaluation of the method. The system was evaluated based on one MRI phantom and one DICOM MRI image of the brain. The accuracy of the proposed registration and reconstruction (- / -) method was 78.5%/97.2% and 95.4%/95.8% for the phantom and the MRI images respectively. These preliminary results provide evidence that the proposed system could be applied in future in the clinical practice.
Year
DOI
Venue
2017
10.1109/CBMS.2017.53
2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)
Keywords
Field
DocType
3D-Reconstruction,Magnetic Resonance Imaging,Multiple sclerosis disease
Iterative reconstruction,Computer vision,DICOM,Computer science,Visualization,Imaging phantom,Preprocessor,Artificial intelligence,Real-time MRI,Magnetic resonance imaging,3D reconstruction
Conference
ISSN
ISBN
Citations 
2372-9198
978-1-5386-1711-3
0
PageRank 
References 
Authors
0.34
1
8
Name
Order
Citations
PageRank
C P Loizou122820.37
Christos Papacharalambous200.34
Giorgos Samaras300.34
Efthyvoulos Kyriacou4308.21
Takis Kasparis541653.68
Marios Pantziaris623421.31
Eleni Eracleous700.34
Constantinos S. Pattichis838243.89